Journal of Clinical Microbiology, January 1999, p. 103-109, Vol. 37, No. 1
0095-1137/99/$04.00+0
Copyright © 1999, American Society for Microbiology. All rights reserved.
Typing of Listeria monocytogenes Strains
by Repetitive Element Sequence-Based PCR
B.
Jer
ek,1,*
P.
Gilot,2
M.
Gubina,3
N.
Klun,4
J.
Mehle,5
E.
Tcherneva,6
N.
Rijpens,1 and
L.
Herman1
Centre of Agricultural Research, Department
of Animal Product Quality (DVK), B-9090
Melle,1 and
National Reference
Center for Listeriosis, Institute of Hygiene and Epidemiology,
B-1050 Brussels,2 Belgium;
Medical
Faculty, Institute of Microbiology3 and
Veterinary Faculty,5 University of
Ljubljana, and
Department of Sanitary Microbiology, Institute
of Public Health of the Republic of
Slovenia,4 1000 Ljubljana, Slovenia; and
Central Veterinary Research Institute, 1606 Sofia,
Bulgaria6
Received 28 May 1998/Returned for modification 24 July
1998/Accepted 21 October 1998
 |
ABSTRACT |
Listeria monocytogenes strains possess short repetitive
extragenic palindromic (REP) elements and enterobacterial
repetitive intergenic consensus (ERIC) sequences. We used repetitive
element sequence-based PCR (rep-PCR) to evaluate the potential of REP and ERIC elements for typing L. monocytogenes strains
isolated from humans, animals, and foods. On the basis of rep-PCR
fingerprints, L. monocytogenes strains were divided into
four major clusters matching origin of isolation. rep-PCR fingerprints
of human and animal isolates were different from those of food
isolates. Computer evaluation of rep-PCR fingerprints allowed
discrimination among the tested serotypes 1/2a, 1/2b, 1/2c, 3b, and 4b
within each major cluster. The index of discrimination calculated for
52 epidemiologically unrelated isolates of L. monocytogenes
was 0.98 for REP- and ERIC-PCR. Our results suggest that rep-PCR can
provide an alternative method for L. monocytogenes typing.
 |
INTRODUCTION |
Listeria monocytogenes is
an important food-borne pathogen, and various kinds of food have been
implicated as sources of animal and human listeriosis (12).
Since there are great differences in pathogenic potential among strains
of L. monocytogenes (18), useful information
can be obtained from typing.
Serotyping and phage typing have traditionally been used for the
differentiation and characterization of L. monocytogenes isolates (2, 31). Since the vast majority
of clinical isolates belong to serotype 1/2a, 1/2b, or 4b, serotyping
has limited value as an epidemiological tool (12, 32). Phage
typing has been useful in studies of some listeriosis
outbreaks but also has limited value, as not all strains are typeable
(12, 29). Improved discrimination between L. monocytogenes isolates has been attained by the development of
molecular typing methods such as restriction enzyme analysis (3,
9, 36), pulsed-field gel electrophoresis (7, 8,
27), multilocus enzyme electrophoresis (MEE) (6, 17),
esterase typing (14, 15), ribotyping (3),
and random amplification of polymorphic DNA (RAPD) (4, 5,
11, 24).
Repetitive element sequence-based PCR (rep-PCR) is a recently described
method which generates DNA fingerprints that allow discrimination
between bacterial strains (34). The term rep-PCR refers to
the general methodology involving the use of oligonucleotide primers
based on short repetitive sequence elements that are dispersed throughout the prokaryotic kingdom. The palindromic units, or repetitive extragenic palindromes (REP), constitute the
best-characterized family of repetitive bacterial sequences
(16).
REP sequences are 35 to 40 bp long and include an inverted repeat. A
second family of repetitive elements, called intergenic repeat units or
enterobacterial repetitive intergenic consensus (ERIC) sequences, are
larger elements of 124 to 127 bp and contain a highly conserved
central inverted repeat (19). REP and ERIC sequences were
used as primer binding sites to amplify the genomes of a variety of
bacteria by PCR (10, 22, 23, 28, 30, 33, 37). Our previous
study showed that REP and ERIC sequences are also present in the genus
Listeria and that they are useful for species and strain
discrimination (21).
In this work, REP- and ERIC-PCR were used to generate DNA fingerprints
of L. monocytogenes strains isolated from humans,
animals, and foods. The objective of this investigation was to evaluate the potential of rep-PCR for typing L. monocytogenes
isolates of various origins.
 |
MATERIALS AND METHODS |
Isolates.
Sixty-four L. monocytogenes
isolates were examined by rep-PCR. Among them, 52 strains were of
unrelated origin (Table 1). Geographical
origin, time of isolation, and maintenance of L. monocytogenes isolates prior to the beginning of this research are
shown in Table 2. Bacteria were
maintained on brain heart infusion agar (Oxoid Ltd., London, United
Kingdom) at 4°C after the beginning of this research. All isolates
were biochemically confirmed to be L. monocytogenes and
serotyped at the Belgian National Reference Center for Listeriosis
(Institute of Hygiene and Epidemiology, Brussels) (32).
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TABLE 1.
Characteristics of L. monocytogenes
strains isolated from humans, animals, and foods and REP and
ERIC types
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Preparation of genomic DNA.
DNA was extracted from bacterial
cells grown overnight at 37°C in brain heart infusion broth (Oxoid)
by the method of Flamm et al. (13) as follows. Bacterial
cells from 2 ml of culture were pelleted by centrifugation at
13,000 × g for 2 min, washed in 1 ml of 1× SSC (150 mM NaCl plus 15 mM sodium citrate [pH 7.0]), suspended in 100 µl of
lysozyme solution (10 mM sodium phosphate [pH 7.0], 20% sucrose, 4 mg of lysozyme [Boehringer, Mannheim, Germany] per ml), and incubated
for 45 min at 37°C. To these suspensions, 200 µl of TE buffer (20 mM Na2-EDTA, 50 mM Tris-HCl [pH 8.0]), 100 µl of
Sarkosyl solution (5% Sarkosyl [Boehringer] in TE buffer), and 100 µl of proteinase K solution (25 mg/ml [Boehringer] in TE buffer)
were added and incubated at 37°C for 1 h. Cell lysates were
extracted once with phenol and twice with chloroform. Precipitation of
nucleic acids was done with sodium acetate (final concentration, 0.3 M)
and 2 volumes of ethanol (100%). The DNA was dissolved in sterile
water, and the concentration of the DNA was determined spectrophotometrically at 260 nm.
rep primers and rep-PCR conditions.
For REP-PCR, the
(18-mer) primers REP 1R-I (5'-IIIICGICGICATCIGGC-3') and REP
2-I (5'-ICGICTTATCIGGCCTAC-3') and for ERIC-PCR, the
(22-mer) primers ERIC 1R (5'-ATGTAAGCTCCTGGGGATTCAC-3') and ERIC 2 (5'-AAGTAAGTGACTGGGGTGAGCG-3') (34) were
used. The REP 1R-I and REP 2-I primers contain the nucleotide inosine
(I) at ambiguous positions in the REP consensus (34).
Inosine can form Watson-Crick base pairs with A, T, G, or C. PCRs were
carried out as described by Versalovic et al. (34) with 25 ng of template DNA per reaction for REP-PCR and 35 ng of template DNA
for ERIC-PCR. Amplification reactions were performed in 25 µl of a
solution containing 25 pmol of each of the two opposing primers
(Isogen, Amsterdam, The Netherlands), 200 µM each deoxynucleoside
triphosphate (Pharmacia, Uppsala, Sweden), 2.5 mM MgCl2
(Perkin-Elmer, Norwalk, Conn.), 50 mM KCl-10 mM Tris-HCl (pH 8.3), and
0.35 U of Goldstar DNA polymerase (Eurogentec S. A., Seraing,
Belgium). Amplifications were performed with a DNA thermocycler (Cetus
model 9600 [Perkin-Elmer]) with the following temperature profiles:
for REP-PCR, 1 cycle at 95°C for 3 min; 30 cycles at 90°C for
30 s, at 40°C for 1 min, at 72°C for 1 min; and 1 cycle at
72°C for 8 min; for ERIC-PCR, 1 cycle at 95°C for 5 min; 30 cycles
at 90°C for 30 s, at 50°C for 30 s, at 52°C for 1 min, at 72°C for 1 min; and 1 cycle at 72°C for 8 min.
Analysis of rep-PCR products.
rep-PCR products (12 µl)
were separated by electrophoresis on a 1.5% agarose gel (SeaKem LE
agarose; FMC Bioproducts, Rockland, Maine) in 1× TBE buffer (2 mM
EDTA, 0.1 M Tris-HCl, 0.1 M boric acid [pH 8]) at a constant
voltage of 4 V/cm. After being stained with ethidium bromide, the
gel was photographed under UV transillumination with Polaroid 665 film.
The DNA molecular weight marker X from Boehringer was used as a size standard.
First, DNA fingerprints of the isolates were compared for similarity by
visual inspection of the band patterns. Two fingerprints were
considered different if the presence or absence of at least two bands
differed in one of the patterns. Variations in band intensity were not
considered to be differences. Bands that were too faint to be
interpreted when reproduced were not considered.
Subsequently, gel images were scanned (ScanJet4p; Hewlett-Packard Co.,
Palo Alto, Calif.), digitized, and stored as TIFF files. These files
were converted (track resolution, 450 pixels [px]), normalized
(normalization settings: resolution, 350 px;smoothing, 3; background subtraction: rolling disk, intensity 6), and analyzed (band settings: band search filters: minimal profiling, 0.27%; minimal area, 0.25%; band comparison settings: position
tolerance, 0.85%; increase, 0%; clustering bands, unweighted pair
group method using arithmetic averages (UPGMA), and Jaccard
coefficients were compared with GelCompar software (version 3.1;
Applied Maths, Kortrijk, Belgium) (1). DNA bands detected by
computer were carefully verified by visual examination to correct
unsatisfactory detection. The normalization program allowed alignment
of gels by associating internal reference bands. The similarities
between DNA fingerprints were calculated with the band-matching Jaccard coefficient (SJ) (28). The proportion of bands
common to two strains, A and B, is defined as SJ = nAB/(nA + nB
nAB), where nAB is the number of bands common to A and B,
and nA and nB are the
total numbers of bands for A and B, respectively. This Jaccard coefficient ranges from 0 to 1.0, where 1.0 represents 100% identity (presence and position) for all bands in the two fingerprints being
compared. A band-matching tolerance of 0.8% was chosen. DNA
fingerprints from 298 to 6,100 bp were compared. Cluster analysis of
similarity matrices was performed by UPGMA.
 |
RESULTS |
rep-PCR of genomic DNA from L. monocytogenes
isolates generated multiple DNA fragments in sizes ranging between 298 and 6,100 bp (Fig. 1 and
2). One
common band of about 1,700 bp, for REP-PCR (Fig. 1), and two common
bands, of about 1,696 and 3,500 bp, for ERIC-PCR (Fig. 2), were present
in all L. monocytogenes strains tested. Visual
comparison of banding patterns revealed 22 distinct REP profiles
and 16 distinct ERIC profiles (Fig. 1 and 2 and Table 1) for the 52 unrelated strains tested. Related strains (isolated from a mother and a
newborn or different isolates from the same patient) produced
identical REP and ERIC profiles. REP and ERIC profiles of L. monocytogenes strains isolated from foods were clearly distinct
from REP and ERIC profiles of human and animal L. monocytogenes isolates (Fig. 1 and 2). In contrast, four of six
L. monocytogenes animal isolates (no. 28 to 30 and 33)
had the same DNA banding pattern as that of two human isolates (no. 23 and 24). All those isolates (no. 23, 24, 28 to 30, and 33), which are
REP type 6 and ERIC type 5, belong to serotype 4b. It is, however,
worth noting that not all ERIC type 5 strains are serotype 4b strains,
as the human isolate no. 21 is ERIC type 5, serotype 1/2b (Table 1).
Subsequently, DNA fingerprints were analyzed by using a computer
program for comparative analysis of DNA electrophoresis patterns. After
normalization and alignment of the different DNA profiles, the relative
genetic similarity among L. monocytogenes isolates was
calculated and visualized by cluster analysis. The estimated
relationships among isolates on the basis of REP and ERIC fingerprints
are indicated on the dendrograms in Fig.
3 and 4,,
respectively. The dendrograms clearly show that the strains examined
are divided into four distinct groups designated A, B, C, and D. Strains were assigned to group A, B, C, or D regardless of which type
of PCR (REP or ERIC) was used. The low degree of relative genetic
similarity between these four groups is less than 20%. Group A
consists of human isolates, group B consists of human and animal
isolates, and groups C and D consist of food isolates. Within each of
the four groups A, B, C, and D, a further differentiation of rep
profiles was established at 80% relative genetic similarity. This
second level of clustering enabled the same or greater differentiation
among strains than did serotyping, with the exception of REP type C14
and ERIC types C11 and D3 (no. 53 and 54) (Table 1). This computer
evaluation (at SJ = 80%) suggested the existence of 33 different REP patterns and 35 different ERIC patterns (Fig. 3 and 4).
Computers work with a certain resolution to discriminate bands from
each other, and this can differ from visual interpretation by eye. The
index of discrimination (DI) of Hunter and Gaston (20)
calculated for 52 epidemiologically unrelated isolates was 0.98 for
REP- and ERIC-PCR. As expected, we found a lower DI (0.72) for
serotyping. By visual analysis, the DIs calculated for 52 epidemiologically unrelated isolates were 0.96 for REP-PCR and 0.94 for
ERIC-PCR. The lower DI obtained by visual analysis may be compensated
for by better REProducibility, and this is a very important but often neglected criterion for the assessment of a typing method.

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FIG. 1.
REP-PCR fingerprints of human (lanes A1 to A19 and B20
to B27), animal (lanes B28 to B33), and food (lanes C34 to C52 and D53
to D64) isolates of L. monocytogenes. Lanes M contain
molecular size markers.
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FIG. 2.
ERIC-PCR fingerprints of human (lanes A1 to A19 and B20
to B27), animal (lanes B28 to B33), and food (lanes C34 to C52 and D53
to D64) isolates of L. monocytogenes. Lanes M contain
molecular size markers.
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FIG. 3.
Dendrogram representing genetic relationships between
L. monocytogenes isolates based on REP-PCR
fingerprints.
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FIG. 4.
Dendrogram representing genetic relationships between
L. monocytogenes isolates based on ERIC-PCR
fingerprints.
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REP- and ERIC-PCR provided a similar degree of discrimination within
the tested serotypes (Table 3). At a
relative genetic similarity of 80%, there was complete discrimination
between serotypes 1/2a, 1/2b, and 4b. Strains 50 and 46, both serotype
3b, could be discriminated from the other serotypes at a relative
genetic similarity of 90%. In general, fewer L. monocytogenes rep types were found among human and animal isolates
than among food isolates. As for visual comparison of banding patterns,
rep types found among human and animal isolates are different from
those found among food isolates, regardless of the serotype. Serotype
4b is present in human, animal, and food isolates, but human and animal serotype 4b isolates clearly belong to other rep types than food isolates. The different rep types present among food isolates show a
relative genetic similarity lower than 20% to rep types found among
human and animal isolates, with the exception of one strain (no. 64)
isolated from chicken, which is more closely related to human
L. monocytogenes isolates than to the other food
isolates (Fig. 3 and 4). REP- and ERIC-PCR for strain 64 were repeated with freshly prepared DNA in order to confirm the results.
 |
DISCUSSION |
In this study, rep-PCR was used as a tool to characterize
L. monocytogenes strains isolated from humans, animals,
and foods. Both methods, REP- and ERIC-PCR, showed great possibilities
for the typing of L. monocytogenes isolates.
L. monocytogenes isolates which are closely linked
epidemiologically as well as some unrelated strains (animal isolates 28 to 30 and 33 and human isolates 23 and 24) showed very similar REP- and
ERIC-PCR fingerprints by visual inspection. Computer-aided comparison
of electrophoresis patterns confirmed this visual impression (Table 1).
REP and ERIC types correlated well with serotypes and generally
provided greater differentiation within and between human and animal isolates.
Among food isolates of L. monocytogenes, a great
diversity of fingerprints was observed. REP and ERIC profiles for food
isolates were clearly different from the profiles obtained for human
and animal isolates of L. monocytogenes.
The 64 L. monocytogenes isolates were divided into four
groups, A, B, C, and D, separated at a relative genetic similarity of
less than 20%. This first level of clustering was based on the origin
of the L. monocytogenes strains
human, animal, or
food. The second level of clustering (at SJ = 80%) allowed
at least the same level of differentiation between strains as
serotyping. The results of our clustering of L. monocytogenes strains are different from the division of
L. monocytogenes strains by restriction fragment length
polymorphism (33) or MEE (17). Vines et al. (35) examined 29 strains of L. monocytogenes
and divided them into one group containing serovars 1/2a, 3a, and 1/2c
and another group comprising serovars 1/2b, 3b, and 4b. These groups
did not correlate with human or environmental origin. Harvey and
Gilmour (17) divided 141 L. monocytogenes
strains into ET group I, containing serovars 1/2b, 4a, 4b, 4c, 4d, and
4e, and ET group II, containing serovars 1/2a, 1/2c, and 3a. The DI of
Hunter and Gaston (20), being 0.98 for REP-PCR or for
ERIC-PCR, is in the same range as the one determined by RAPD with the
combination of results obtained with two or three primers
(5).
The division of the 64 strains of L. monocytogenes by
rep-PCR into two groups (A and B) containing human and animal isolates and another two groups (C and D) containing food isolates showed that
no similarity between strains isolated from humans or animals and
strains isolated from foods is present (Fig. 3 and 4). The exception,
strain 64, isolated from chicken, showed by ERIC-PCR higher similarity
with human isolates than with other food isolates (SJ = 26%). This observation could lead to the hypothesis that only a minor
portion of the L. monocytogenes strains present in food
products are infectious for humans and animals. McLauchlin (25) and Notermans et al. (26) reached a
similar conclusion that not all L. monocytogenes
bacteria present in food cause disease because of the interstrain
differences in their virulence properties. Because only 64 strains were
included in this study, these observations should be validated by the
examination of a larger set of strains.
The potential of rep-PCR as an efficient and sensitive molecular typing
tool for L. monocytogenes should be further evaluated by the examination of L. monocytogenes isolates
associated with food-borne epidemics. rep-PCR may serve as a rapid
screening method to classify a large number of isolates into clusters.
Results of this study add further evidence to the idea that rep-PCR may be broadly applicable for fingerprinting bacteria which possess repetitive elements such as REP or ERIC sequences.
 |
ACKNOWLEDGMENTS |
We are grateful to A. Genicot (Belgian National Center for
Listeriosis) for serotyping and to M. De Loose and J. De Riek (Plant Breeding Station, Merelbeke, Belgium) for assistance with the computer-aided evaluation of rep-PCR fingerprints.
B. Jer
ek was supported by a fellowship from the Ministry of
Science and Technology, Slovenia, during her stay at the Centre of
Agricultural Research, Department for Animal Product Quality (DVK).
 |
FOOTNOTES |
*
Corresponding author. Present address: Biotechnical
Faculty, University of Ljubljana, Jamnikarjeva 101, 1000 Ljubljana, Slovenia. Phone: 386-61-1231161. Fax:
386-61-266296. E-mail: Barbara.Jersek{at}BF.UNI-LJ.SI.
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Journal of Clinical Microbiology, January 1999, p. 103-109, Vol. 37, No. 1
0095-1137/99/$04.00+0
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